sentiment to the subject, it is often commonly accepted that designtakes time and effort, and that a significant proportion of time needs to be dedicated toperform well, which students can then see as distracting from their other subjects andexamination preparation. Design is the culmination of all subject matters in engineering andgives students the opportunity to show their flare, engineering prowess, understanding ofcomplex concepts and most importantly how to apply theory to a real-life scenario. However,the perception from students and even some faculty members does not always reflect this. Toaddress concerns typically associated with the engineering design modules and to givestudents the time to fully dedicate to design, an innovative
, each with unique strengths and local challenges. Weuse a collective impact model, allowing each campus to contribute to the development,deployment, and continuous improvement of the curriculum. Our team is composed of computerscience educators and social scientists with expertise in evaluating inclusive STEM education andtraining faculty at Hispanic-Serving Institutions (HSIs). Our evaluation plan examines bothstudent and faculty outcomes, enabling us to reflect and refine our approach. Shared leadershipand site teams are integral to sustaining the work, even amid potential academic personnelchanges.Our research is impactful in the learning sciences for several reasons. It utilizes faculty learningcommunities as a vehicle to bring change to
analyze and apply, demanding adeeper level of cognitive engagement with the material and enhanced problem-solving abilitiesfrom the students. The crafting of course objectives, reflective of broader program aims, iscrucial for the success of a translational model that aligns educational outcomes withoverarching program goals.Experiential learning is essential to the education of aspiring engineers. Engineering combinestheory with practical application, requiring a learning approach that encompasses both for thesake of societal safety and integrity of the solutions engineers provide. Experiential learningoffers a diverse array of learning opportunities grounded in real-world experiences; inengineering education programs it is usually manifested as
information presented was not helpful for the scholars in theprogram because the presenters did not discuss the funding opportunities, which is essential forlower-income students, as we found in our qualitative study [4]. Hence, we asked the PIs tochange messaging around the grad school within computing, which was reflected in the recentyear showcase, and we find that the students’ understanding of graduate school functions hasimproved. Similarly, we are trying to bridge the gap between students’ perceptions of thesepathways and the institutional messaging around them. Being a stakeholder, the educationresearch team within Flit-GAP also plays an essential role in the computing education ecosystemto meet the students where they are.4 Methods: Data
of correct behaviors, identification of weaknesses,adaptation of strategies, and reflection on their learning process. The AI model dynamicallyrecommended personalized learning pathways based on students' progress. This multifacetedfeedback approach contributed to a more effective and engaging learning environment,ultimately leading to improved understanding and mastery of swarm intelligence concepts andalgorithms. Williamson et al. [5] revealed how Internet of Things (IoT) technology can replicatebrain functions within physical settings, enabling the sensing and comprehension of humancognitive behaviors. They also showed how this innovation enhances human cognition andperformance.AI-driven Gamification: AI-driven gamification in education
learning in engineering coursesAbstractFaculty traditionally have used a variety of individual and group-based learning activitiesincluding homework assignments, exams, projects, reflection papers, and presentations in aneffort to promote, enhance, assess, and evaluate students’ knowledge and learning. More currentresearch has suggested modifications to some of the historic assessment methodologies andtechnological advances that have potentially influenced the use of various assessmentapproaches. The authors pose the following question in this paper: How are faculty currentlyevaluating student learning and encouraging student success in engineering courses?This paper provides a summary of research into grading practices and then shares the results
skills, such as innovation, creativity, and project management.Keywords: Entrepreneurship, Collaborative Competencies, Pedagogical Model, TechnicalCareers, Ecuador.INTRODUCTIONThe dynamic global entrepreneurship landscape has undergone a significant transformation,playing a crucial role in economic development through collaboration with entrepreneurialprocesses [1]. The literature emphasizes that entrepreneurship goes beyond the simple creation ofcompanies, being an intrinsic attitude of human beings reflected in their ability to take risks,identify opportunities, and adapt to fluctuations in the labor market [2–6]. In this context, thedemand for entrepreneurial education has been increasing, highlighting its importance in creatingan
the research process (Jolivette,2015). Surveys, interviews, and focus groups create great benefits for the institution and itsresearch team (in the forms of grant funding, tenure, and graduate degrees, among others) oftenwith little to no benefit for the subject community (which may or may not even receivecompensation). Fair financial compensation that matches or exceeds the per-hour wages of theresearchers is a way to strive for equal benefit for TGNC subject populations from a researchjustice perspective. Our participants were compensated at a comparable hourly rate as theresearchers in order to reflect the unparalleled value of the unique expertise that they brought tothe research project.Site-visitsThe site-visit activities were divided
teachersengaged in a pre-departure course, a four-week program in China, and a follow-up curriculumdesign and delivery activity. These researchers used the IDI to assess participants’ gains, as wellas other qualitative methods including ongoing reflections, and an assessment of the participants’curriculum design projects. Similar to Cushner and Chang (2015), He Lundgren and Pines(2017) did not see dramatic growth on the IDI, but did see some positive changes in theparticipants’ beliefs, insights, and teaching practices.Using a different assessment strategy, Oken, Jansen, Hoffman and Coelen (2022) foundinternational experience to have a significant positive impact on developing the interculturalcompetence of teachers. Finally, Charity Hudley, and
90% of the Hub's first-semester visitors were internationalstudents. They also reflect significant linguistic diversity, as 17% of the Hub's studentsreported they were comfortable speaking Chinese and 10% reported feelingcomfortable speaking Persian. Students also reported speaking Korean, Hindustani,Arabic, Greek, Urdu, and Bengali.Student visitors at the Hub represented every year of graduate study, with 30% in thefifth year of graduate study, 27% in the first year of graduate study, and 16% in thefourth year of graduate study. In terms of engineering departments, most (66%) camefrom computer science, but every engineering department (including chemicalengineering, biomedical engineering, electrical engineering, astronautical engineering
theindustry professionals are too removed from the first-year student experience to be helpful [19].The mentorship program at West Virginia University transitioned away from industry mentorsfor first-year students as they reflected that first-year students were not yet ready to interact withexperienced industry professionals [11]. Success in the early mentorship programs is often evaluated with surveys for self-efficacy,identity, social community, and/or sense of belonging [2,3,5,7,8,20], or with analysis ofacademic grades or retention in the program [5,8,16]. While mentorship programs are often totedas successful anecdotally, the data is not always as clear to indicate the benefits when comparedto those students not participating. Sense of
teaching approach, weleverage the insights of the HPL framework to explore how undergraduate engineering studentsinteract with data skills in relation to the HPL elements when reflecting on their own data skillslearning experiences. Our interview protocol, guided by the HPL framework, delves into studentperspectives on self-reflection, knowledge acquisition, and assessment related to data skills.4. METHODS4.1 Participant Recruitment and Selection.In this study conducted at a southeastern United States institution, 177 students completed arecruitment survey. All interested mechanical engineering (ME) students were automaticallyselected, as only a small number of participants were ME students. Meanwhile, interestedaerospace engineering (AE) students
school and causehim to stress about having to work, affecting his sleep, all of which would cause his grades todrop. Other students who did not work reflected on how the stress of trying to find a job wouldnegatively impact their studies. In this respect, the S-STEM scholarship helps students maintaina healthier study-work-life balance.Students also described how the scholarship freed them up to pursue jobs and internships alignedwith their academic and career interests. For example, one student had worked at a public utilitycompany in a field outside of his interests. S-STEM allowed him to become an undergraduateresearcher in a field of interest while also allowing him more free time. Students explained thatworking fewer hours opens up more
faculty member of the School of Engineering Education at Purdue University. She is currently a Professor in Biological Systems Engineering at the University of Nebraska - Lincoln. Her role in the College of Engineering at UNL is to lead the disciplinary-based education research initiative, establishing a cadre of engineering education research faculty in the engineering departments and creating a graduate program. Her research focuses on the development, implementation, and assessment of modeling and design activities with authentic engineering contexts; the design and implementation of learning objective-based grading for transparent and fair assessment; and the integration of reflection to develop self-directed
topical themes wereinitially identified by reviewing the following three textbooks - Ethics in Engineering Practiceand Research [27], Engineering Ethics: Concepts and Case [9], and Engineering Ethics [8]– andthen continued by adding each additional textbook. Thus, more topics were iteratively addedafter each textbook examination. The final list of forty-one ethical topics identified, shown inTable 1, reflects a comprehensive list of engineering ethics topics. When a keyword wasmentioned or clearly alluded to, the topic was marked on the table with an “X” to indicate it wasincluded in that textbook. It is noteworthy that there were differences in the format of thetextbooks’ table of contents, specifically with the headings. The table of contents
) Prof[25] team mental models in design Reflective Practice UG, Grad, teams Qualitative Analysis (RPA) Prof Input of an expert model of Concept maps (Graph text, to output of concept map[28] Grad Mixed Methods Centrality) summarizing the key ideas and relationships in the text2 CONCEPT MAPS Concept maps use a graph-based structure
0.99 assignments Weighted Mean 2.45 0.94 2.49 0.71 2.75 1.00 2.55 1.01Student engagement and growthThe experiment focused on problem-solving, motivation, confidence, and interest, which showedmeasurable growth. This indicates that the experiment targeted dimensions associated with activelearning as identified in previous studies. This supports the idea that practical activities canenhance STEM education [13]. The decrease by Fall 2023 reflects warnings from Braxton et al.[3] that numerous reforms often lead to only a temporary increase in engagement. They stress thatmaintaining behavioral changes necessitates consistently cultivating a supportive culture for anextended period. The latest
near-peer mentoring between graduate students and undergraduate transfer students in engineering and computingIntroduction Mentoring is a practice in which a student, or mentee, and a more experienced individual,a mentor, engage in a relationship that includes advising or instructing by the mentor to thementee. This type of relationship can be seen throughout academia and is commonly foundbetween staff members and students. The concept of near-peer mentoring reflects the ideas andgoals of traditional mentorship but is formed between individuals who are at similar experiencelevels, personally or professionally, where the mentor and mentee relate to one another due tosimilar age proximity, shared goals, common experiences, or
soldering equipment. • A full week was given to complete each laboratory assignment. • At least 20 staffed laboratory hours were provided each week (split between teaching assistants and peer mentors).For each laboratory assignment, the desired outcome is first and foremost to create something.Therefore, less emphasis was placed on the laboratory report than on the building process. Thelaboratory report contained mostly photographs and brief explanations of the various steps in theproject. Additionally, students were asked to reflect on the entire experience for each assignment,which allowed students to exercise some metacognition, and also gave the course staff an idea ofwhere the main challenges lie. Finally, for each assignment
; implementation and evaluation are also crucialcomponents. While a well-designed strategy can offer a framework for evaluation, insufficientpreparation cannot precede successful implementation.Engaging in writing accountability activities and seminars, among other forms of professionaldevelopment training, is more effectively optimized through planning. Effective planning, whichspans the duration of the project, involves the following: identifying the objectives (goal setting),iterating the roadmap (structure), assigning timeframes for task implementation and milestonerecognition (timelines), engaging in brainstorming sessions regarding project progress(reflection), and providing feedback based on individual perceptions of the project. As a result
expectations and output reflects expected information. • Data simplification: Replace some variable input data with fixed values to predict system behavior under controlled conditions. • Model simplification: Run a simplified model. Examples of simplification include: a model while its resource does not have break times or failures, or its queue capacity is unlimited and there is no balking. • Extreme scenario Testing: Test the model under extreme conditions, like significantly altered arrival times or service times, to identify potential weaknesses. • Animation review: Observe the model's animation for visual confirmation of expected behavior and entity flow. • Long-term run analysis: Run the model for an
Component Final Grade Assignment Homework 15% 1.9% Quiz 12% 3.0% Midterm 30% 15% Final Exam 20% N/A Design Project 15% N/A Engagement (iClicker participation, writing 8% N/A reflections) A majority of students in this section
accurately reflects a typical systems engineering process than acollection of isolated tasks.Lowering the stakes encourages student participation by providing a low-risk incentive tocontribute to the learning environment. The Discussion posts are graded - but students need onlycontribute to a discussion to receive the full grade. The content of the discussion post itself is notgraded. As the modeling assignments progressively build on the assignments that have gonebefore, students have the opportunity to correct previous mistakes for extra credit, thus loweringthe stakes for each individual assignment. Students also have the opportunity to complete onlinequizzes to demonstrate understanding of the concepts being taught. These are optional
,contiguity matching graphics all adjacent to their virtual graphic in 3D space; Figure 1(b). Users can opt to have guidance from an animated virtual Create or animate hand that overlays the user's right hand and slowly curlsEmbodiment objects to reflect its fingers while the user simultaneously performs the humanesque motions right-hand rule on two vectors; Figure 1(c). As shown in Figure 1(d), each module is divided into several tasks as
refers to the availability of employment opportunities, jobstability, working environment conditions, as well as comprehensive satisfaction suchas personal income and development. With the changes in the employment rate ofvocational college graduates and higher quality requirements, the focus of the graduategroup has shifted from simply finding a job to considering employment quality.Therefore, employment quality is a reflection of problems in the field of employmentquality, which includes subjective and objective aspects. From a subjective perspective,employment quality refers to individual workers' subjective satisfaction with their work,including the pleasure and social identity brought by work. It also refers to what kindof job individual
deeperunderstanding based on their reflections of their interactions with the peer mentors.SurveyGiven our research's unique focus, we determined it was necessary to develop a survey alignedexplicitly with our research questions. We included both selected and open-ended responseprompts to gather a combination of both qualitative and quantitative data. Our survey includedfree-response prompts such as, “Please share how the peer mentors made you feel themakerspace classroom is for you” “Please share how the peer mentors helped or could havehelped your team work together” and “Please share how the peer mentors helped you developconfidence when working in the makerspace classroom.” We also included companion selected-response prompts such as, “Please share your
rigorousdiscipline focusing heavily on math and science [4], [5], [6]. Due to these attitudes, students andlab instructors tend to focus more on technical knowledge rather than communication skills inlabs. Another study found that the written engineering documents seldom contained socio-cultural features of engineering and the trade-offs between productivity and safety or health of anoperator [7]. This type of neutral and objective text couldn’t reflect the complexity and human-related real-world engineering problems [7]. In this study, we want to model engineeringthinking to increase students’ awareness of rhetorically-focused writing in ME labs. Manyengineering programs have writing-intensive lab courses designed to simultaneously improveengineering
participants are overwhelmingly low-income, Growth Sector’s commitment to STEM student success and access begins with ensuring 2compensation for work-based learning opportunities. STEM Core students receiving stipends fortheir program commitments is a priority. To begin, Summer Bridge participants are awarded$1500-$1800 for 4-6 week programming, where as interns are stipended $7-10k for ten weekplacements. Students are paid a stipend for participation and to aid in alleviating financialcircumstances, which can create a barrier to student participation (Busser & Others, 1992).Furthermore, to be truly reflective of the community, participants are recruited
ideas (Figure 1). The bridge design challenge drewfrom a similar project in a first-yearengineering reflection course and asecond-year engineering foundationscourse in the authors' academic programbased on work by Chen andWodin-Schwartz [14]. The bridge designproject began with a prompt from a citymayor hoping to connect two parts oftown with a bridge. However, the bridgehad to begin and end in specific zones oneither side which were to be demolishedto make way for the bridge. Context wasalso added in the prompt, saying, "TheMayor says they trust your decision aslong as you can explain it!" to helpalleviate the youth's fears aboutpreemptively having a "correct" answer.Six zones were created, three on eachside, of which youth had to
length is a concern, faculty can omit the questionson overall responsibility, identity, persistence and demographics. We have found some value inincluding the survey as part of the normal post-laboratory assignments, as the questions aboutrelevance and consequential agency jointly provide an opportunity for students to reflect on theirexperience and provide additional insight for faculty about how students perceive the laboratoryexperiment. As such, we encourage faculty to assign minimal completion points (not extracredit), in line with an activity that takes around 10 minutes to complete. Research emphasizesthe value of reflecting on experience, as this helps cement and organize learning [38]. Inaddition, faculty may benefit from gaining